node2vec (Grover and Leskovec, 2016) is a machine learning method used to create vector representations of the nodes of a graph.

Here we propose node2vec, an algorithmic framework for learning continuous feature representations for nodes in networks. In node2vec, we learn a mapping of nodes to a low-dimensional space of ...

Random walks have been proven to be useful for constructing various algorithms to gain information on networks. Algorithm ...

AttributeError: module 'node2vec' has no attribute 'Graph' btw，我使用readme.md ...

Identifying genes associated with Parkinson's disease plays an extremely important role in the diagnosis and treatment of ...

Abstract: Malware detection remains a critical cybersecurity challenge, with existing techniques struggling to address evolving ...

Abstract: Many biological studies show that microRNAs (miRNAs) play an indispensable role in the regulation of various biological ...

Prediction tasks over nodes and edges in networks require careful effort in engineering features used by learning algorithms.